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RicePilaf:一个GWAS/QTL后的仪表板,可以整合泛基因组,共同表达,监管,表观基因组,本体学,通路和文本挖掘信息,提供对大米QTL和GWAS位置的功能洞察力

Anish M S Shrestha^1,2, Mark Edward M Gonzales¹, Phoebe Clare L Ong¹

¹Bioinformatics Lab, Advanced Research Institute for Informatics, Computing and Networking, College of Computer Studies, De La Salle University, Manila 1004, Philippines.

|June 4, 2024

概括

RicePilaf是一个新的网络应用程序,可以帮助研究人员了解重要的米特征的遗传基础. 它整合了多个数据源,以确定由GWAS和QTL研究确定的复杂基因组区域内的因果基因.

科学领域:

植物基因组学植物基因组学
生物信息学是一种生物信息学.
农业科学农业科学

背景情况:

全基因组关联研究 (GWAS) 和定量特征位点 (QTL) 分析确定了与大米农学特征相关的众多基因组位点.
这些位点通常包含许多单核酸多态 (SNP) 和基因,这使得很难识别因果变异和理解生物机制.
来自不同来源的功能基因组学数据的整合对于GWAS/QTL后分析具有挑战性.

研究的目的:

开发一个综合生物信息网络应用程序,RicePilaf,用于在米中进行GWAS/QTL后分析.
通过GWAS和QTL映射识别的基因组区域的功能解释.
帮助大米科学家和育种者优先考虑候选SNP和基因进行实验验证.

主要方法:

米Pilaf集成了来自多种米品种的泛基因组数据.
它包括基因组规模的共同表达网络,基因本体学,通路信息和转录因子数据库.
该工具还利用表观遗传学数据和科学文献的文本挖掘来将基因与特征联系起来.

主要成果:

RicePilaf提供了一个全面的平台,用于与各种公共大米数据库交叉引用GWAS/QTL结果.
该应用程序成功地用于分析收获前发芽的GWAS峰值和产量低于干旱的QTLs.
它使研究人员能够对复杂的基因组区域获得功能性见解.

结论:

RicePilaf使研究人员能够阐明米中GWAS区域和QTL的功能意义.
该工具有助于优先考虑候选基因和SNP用于下游实验验证.
源代码和演示版本公开提供,以便更广泛地采用.

关键词:

在GWAS中,GWAS就是GWAS.在QTL分析时,我们会对QTL进行分析.共同表达网络的共同表达网络在GWAS之后.米米饭米饭米饭米饭.文本采矿文本采矿是什么转录因子结合的转录因子

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